Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/4480
Τίτλος: Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks
Συγγραφείς: Alexakis, Dimitrios 
Hadjimitsis, Diofantos G. 
Agapiou, Athos 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Λέξεις-κλειδιά: Spectroscopy;Archaeology--Remote sensing;Archaeology;Open access publishing
Ημερομηνία Έκδοσης: 7-Δεκ-2012
Πηγή: Remote Sensing, 2012, vol. 4, no.12, pp. 3892-3919
Volume: 4
Issue: 12
Start page: 3892
End page: 3919
Περιοδικό: Remote Sensing 
Περίληψη: Several studies in the past have examined the spectral capability of multispectral and hyperspectral imagery for the identification of crop marks, while recent studies have applied different vegetation indices in order to support remote sensing archaeological applications. However, the use of vegetation indices for the detection of crop marks lacks in accuracy assessment and critical evaluation. In this study, 71 vegetation indices were indexed, from the relevant bibliography, and evaluated for their potential to detect such crop marks. During this study, several ground spectroradiometric campaigns took place, in a controlled archaeological environment in Cyprus, cultivated with barley crops, during a complete phenological cycle (2011-2012). All vegetation indices, both broadband and narrowband, were evaluated for their separability performance, and the results were presented through tables and diagrams. In the end, the use of more than one vegetation index is suggested in order to enhance the final results. In fact, several not widely used vegetation indices are suggested and evaluated using both Landsat TM and EO-1 Hyperion images
URI: https://hdl.handle.net/20.500.14279/4480
ISSN: 20724292
DOI: 10.3390/rs4123892
Rights: @ 2012, Remote Sens
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation: Cyprus University of Technology 
Εμφανίζεται στις συλλογές:Άρθρα/Articles

Αρχεία σε αυτό το τεκμήριο:
Αρχείο Περιγραφή ΜέγεθοςΜορφότυπος
remotesensing-04-03892[1].pdf1.89 MBAdobe PDFΔείτε/ Ανοίξτε
CORE Recommender
Δείξε την πλήρη περιγραφή του τεκμηρίου

SCOPUSTM   
Citations

113
checked on 9 Νοε 2023

WEB OF SCIENCETM
Citations 50

103
Last Week
0
Last month
0
checked on 29 Οκτ 2023

Page view(s)

549
Last Week
0
Last month
1
checked on 30 Ιαν 2025

Download(s)

117
checked on 30 Ιαν 2025

Google ScholarTM

Check

Altmetric


Αυτό το τεκμήριο προστατεύεται από άδεια Άδεια Creative Commons Creative Commons